Influence of cataract surgery on iris recognition: A preliminary study

2016 International Conference on Biometrics (ICB) Pub Date : 2016-06-13 DOI:10.1109/ICB.2016.7550067

Ramachandra Raghavendra, K. Raja, Vinay Krishna Vemuri, Swetha Kumari, Pierre Gacon, E. Krichen, C. Busch

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引用次数: 8

Abstract

Iris biometrics is considered as the unique and accurate biometric characteristics that are suited for large scale applications such as India's AADHAR, CANPASS, and many other national ID programs. However, the accuracy of the iris recognition is observed to degrade when eye (or iris) is affected by the diseases. Among many other eye diseases, cataract results in a cloud formation on the eye lens and is a potential problem, especially in the developing countries. In this paper, we present a preliminary study on 84 data subjects to reveal the effect of cataract on iris recognition performance. We investigate three different scenarios, which involve: (1) Enrolment and recognition of affected eyes (pre-operated eye) (2) Enrolement and recognition of operated eyes (post-operated eye) (3) Enrolment with affected eyes and recognition with operated eyes. Extensive experiments are carried out using five different academic and commercial iris recognition methods to get complete insight on the impact of cataract on the recognition performance. Results obtained on our database indicate the degraded performance in verification of the cataract operated eye.

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白内障手术对虹膜识别影响的初步研究

虹膜生物识别被认为是独特而准确的生物特征，适合于大规模应用，如印度的AADHAR, CANPASS和许多其他国家的身份识别计划。然而，当眼睛(或虹膜)受到疾病的影响时，虹膜识别的准确性会下降。在许多其他眼病中，白内障导致眼晶状体形成云，是一个潜在的问题，特别是在发展中国家。在本文中，我们对84个数据对象进行了初步研究，揭示白内障对虹膜识别性能的影响。我们研究了三种不同的场景，包括:(1)手术眼的入组和识别(术前眼);(2)手术眼的入组和识别(术后眼);(3)手术眼的入组和识别。利用五种不同的学术和商业虹膜识别方法进行了大量的实验，以全面了解白内障对识别性能的影响。在我们的数据库中获得的结果表明，在验证白内障手术眼的性能下降。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 International Conference on Biometrics (ICB)

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